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In practice, these markets are often used to estimate the likelihood of elections, policy decisions, product launches, and even sports outcomes, because prices can update continuously as new information appears. That makes them useful not only for traders but also for analysts who want a fast, crowd-based signal that reflects changing expectations. Some platforms emphasize real-money participation, while others focus on simulated or poll-based forecasting environments; for example, https://predictrealmoney.com and https://polltrading.com illustrate different ways people can engage with event forecasting. Beyond speculation, organizations may use these systems to identify knowledge gaps, test assumptions, and compare internal forecasts against market sentiment. Their value often comes from aggregating dispersed expertise into a single, tradable probability.